Session Index

An overview of recent progress of the author’s multi-contrast optical coherence microscopy (OCM) is presented. This OCM is based on holographic signal processing, time signal analysis, and Jones matrix imaging. The technical details of each technology and applications for in vitro tissue imaging are shown.

 

I introduce the Intelligent Image-Activated Cell Sorter 2.0, a technology that performs deep-learning-assisted image-based sorting of single live cells from large heterogeneous cell populations on a microfluidic chip with a high throughput of >2000 cells/s, enabling a new class of biomedical applications.

 

A pre-train image conversion scheme is adapted into an image classifier network of skin cancers. The network is separately trained on both OCT images before and after conversion into H&E-liked images. We compared the training results to anaylize factors which influenced the accuracy and discovered some insight of deep learning.

 

Utilizing pseudospectral time-domain (PSTD) simulation technique, we model the phenomenon of optical phase conjugation (OPC). Specifically, we investigate the feasibility to focus light with imprecise OPC information. Research findings may provide essential information to determine the contribution of certain factors in focusing light in turbid media.